Oraclewizard.com, Inc is a Veteran Owned HUBZONE Certified Small Business, Principle owner Robert Lockard is an Oracle ACE Director and Winner of the 2015 Oracle Developers Choice Award for Database Design.
Between ongoing data breaches and emerging technologies constantly coming out, you need to ask the question. “Is my information secure?” On October 11th we will be hosting a security day with Oracle Corporation in Reston Virginia.
When: October 11, 2019
Where: 1910 Oracle Way, Reston, VA, 20190
Executive level presentations on: Cybersecurity Challenges, 5G Security, Machine Learning and AI Security, Blockchain, Cloud Security, and Cybersecurity Maturity Model Certification (CMMC)
We will be having executive level and technical discussions on the information security challenges we will be facing from emerging technology. All talks are geared to Executives and Senior Technical Leads.
8:00 – 8:30 – Arrival and Registration
8:30 – 9:00 – Morning snack (pastries), Welcome, and
9:00 – 11:30 – Executive
Governance and Compliance
Emerging Tech Security
11:30-12:30 – Lunch
12:30 to 2:55 – Track
SessionsTrack 1: Cloud Security
Did you know when you type commands in sqlplus or sqlcl that include a password; if your network is not encrypted, the password is sent in the clear. In fact, all sql commands are sent in the clear to the database if the network is not encrypted.
Great for a man in the middle attack. Make sure your network is encrypted before you start configuring the Oracle database or sending sql statements for that matter.
<code> c##sec_admin > administer key management set keystore open identified by SecretPassword;
Why: That’s a pretty silly question. For me, it’s the opportunity to share what I know with a wide audience. This is one of those conferences where you are not only going to do a serious amount of learning from over 20 of the top speakers in the world. You will also have the opportunity to expand your network. You will definitively have a good time, Kamil will see to that.
How: Get here by plane, train or automobile. I’m told that tickets have already been sold out. But double check with the website, things do change.
When you get here, be sure to bring your thinking cap, your beer mug, and your sense of humor. You’ll need em’. Zobaczcie się za kilka tygodni.
August 13, 2018: NOTE UPDATE TO POST THIS IS SPECIFIC TO Oracle 12.1 and bellow. Oracle 12.2 and above, you can change an unencrypted tablespace to an encrypted tablespace.
1) When we start talking about securing information, the first thing that always seems to come up is encryption. Everyone has heard about it, but some don’t really understand just what encryption is protecting. When we are discussing Transparent Data Encryption (TDE) we are discussing data at rest. The attack vectors we are protecting from is a bad actor gaining access to the physical hardware.
1a) Now, the easiest and fastest way to implement TDE is to encrypt tablespaces and move the sensitive data into the encrypted tablespace. You need to be careful here, just because you identified the tables that are sensitive, what about objects that are dependent on the table? (Indexes, Materialized Views, etc). Each of these sensitive objects need to be moved into encrypted tablespaces.
Find dependent objects.
set pagesize 1000 set linesize 132 col owner format a30 col name format a30 select d.owner, d.name, s.tablespace_name, t.encrypted from dba_dependencies d, dba_segments s, dba_tablespaces t where d.owner = s.owner and d.name = s.segment_name and s.tablespace_name = t.tablespace_name and referenced_name IN ( SELECT segment_name FROM dba_segments WHERE tablespace_name IN (SELECT tablespace_name FROM dba_tablespaces WHERE tablespace_name = upper('&&tbs'))) UNION SELECT i.owner, i.index_name, i.tablespace_name, dd.ENCRYPTED FROM dba_indexes i, dba_tablespaces dd WHERE i.tablespace_name = dd.tablespace_name AND table_name IN ( SELECT segment_name FROM dba_segments WHERE tablespace_name IN (SELECT tablespace_name FROM dba_tablespaces WHERE tablespace_name = upper('&&tbs')));
You can not change an unencrypted tablespace into an encrypted tablespace, so you are going to need to first create the encrypted tablespace. UPDATE, in Oracle 12.2 and above you can change an unencrypted tablespace into an encrypted tablespace.
Now that we have an encrypted tablespace, we need to start moving all the sensitive data into it. It’s important to know, that to prevent ghost data you we are going to need to move everything out of the tablespace and into a new tablespace. I normally use alter table move, but you can also use dbms_redefination and create table as select. Use the report from dependent objects to make sure you have everything out of the tablespace. Once you have everything out, drop the tablespace then use a utility like shred to over right the data file(s) with random data. Once you have done that, you can safely delete the data file(s).
Here is a link to my demo on moving data to an encrypted tablespace. This demo assumes the base table is already in the encrypted tablespace, now we need to move indexes and materialized views. https://www.youtub
TDE also offers column encryption, the analysis required to properly implement column based encrypted is time consuming. So for now we are going to pass over column encryption.
1b) SQLNet encryption. Information that moves through the network is subject to various attacks including man in the middle, replay and modification attacks. With these data can be leaked, corrupted, or even replayed. So we use sqlnet encryption and integrity to protect our data from leaking, replays and modification. You are going to user net manager to setup. Make an encryption or integrity method either Accepted, Requested, Rejected or Required. You can read more on these in the Oracle Documentation.
$ORACLE_HOME/bin/netmgr Open local –> profile then select network security and click on the encryption tab. Select the encryption algorithms you need and then enter 256 characters in the encryption seed block.
Select an integrity method. Remember MD5 has several weaknesses. SHA has become the defacto standard.
2) Audit your users and environment. I’ve have heard this one time and time again, “It’s not my job. It’s the auditors job.” The fact remains many breaches exists for weeks, months and even years before they are discovered. Than when a breach is discovered, the auditor request audit logs. We need to do better!. I get audit reports every morning and review them before I do anything else. So what do you want to audit?
2a) Audit login failures. Login failures can be a sign someone is trying to gain access to your system. If you start seeing login failures, investigate. Is the issue user training or is there something else going on.
2b) Audit logins from yesterday. Why you are going to be looking at os_username / username / userhost to see if people are logging in from multiple workstations. This could be an indicator of a username/password being shared. Another reason I do this audit is to check os_username / username. Is the user using their proper account. I have issues in the past where a user was using the application login to do their normal work. This audit showed this and allowed us to correct the situation.
2c) Audit logins for the past 31 days. This gives you a 30,000 foot picture on how often users are connecting and are then disconnecting at the end of the day.
set heading off set pagesize 1000 set linesize 132 set serveroutput on col object_name format a24 col object_type format a24 col doctype format a10 col userhost format a40 col os_username format a15 col username format a15 col terminal format a15 spool $HOME/session_audit.txt select 'login failures' from dual; select os_username, username, userhost, terminal, to_char(timestamp, 'dd-mon-rr hh24:mi') from dba_audit_session where returncode != 0 and trunc(timestamp) >= trunc(sysdate-1) and username != 'DUMMY' order by timestamp /
select 'logins yesterday' from dual; select os_username, username, userhost, count(*) from dba_audit_session where trunc(TIMESTAMP) >= trunc(sysdate-1) and username != 'DUMMY' and action_name != 'LOGOFF BY CLEANUP' group by os_username, username, userhost order by os_username, username /
select 'logins last 31 days' from dual; select os_username, username, userhost, count(*) from dba_audit_session where trunc(TIMESTAMP) >= trunc(sysdate-31) and username != 'DUMMY' and action_name != 'LOGOFF BY CLEANUP' group by os_username, username, userhost order by os_username, username /
2d) Audit changes to any database objects. This is a simple query you can start with. You are checking objects based on last_ddl_time and created.
select 'changed / created objects last 24 hours' from dual; select owner, object_type, object_name from dba_objects where (trunc(created) >= trunc(sysdate-1) or trunc(last_ddl_time) >= trunc(sysdate-1)) order by owner, object_type, object_name /
2e) Use a product like tripwire to check for any changes to ORACLE_HOME. You can also roll your own but getting a checksum of all the files in ORACLE_HOME, than doing the check everyday to see if a file has changed. (there are some files you will want to filter because they change in the normal course of operations)
3) Identify the sensitive data in your database. How can you know what to protect if you don’t know what is sensitive? When you identify what is sensitive, it’s easier to track that data through your enterprise to limit access to the data.
Now there is something most people know but don’t realize they know. You can have a simple piece of data, that by itself is not sensitive, but when combine it with other data that’s not sensitive and now you have sensitive data. IE: I’m Robert, that by itself is not vary valuable. Combine that with my zip code that is not very sensitive and you have narrowed down the universe of Roberts’. Next add that I drive a Ford F150 and a BMW R1150RS, now you have uniquely identified me.
3b) If you have not already done so, you can reverse engineer your application scheme into Oracle SQL Developer Data Modeler. SQL Developer Data Modeler has the ability to mark and report columns that are sensitive.
Heli made a blog entry on how to mark and report on sensitive data in SQL Developer Data Modeler. Sensitive Data From Heli
4) Create trusted paths to your sensitive data. Or at the very least, limit the number of paths to get to your sensitive data. Now that you have a list of sensitive data, document where that data is getting accessed by. You can use unified_audit_trail to get hosts names and users accessing the data. Once you have validated how the data is getting accessed and from where and by who you can setup Virtual Private Database and redaction to limit the paths to get to the sensitive data.
Here is a simple example, if people who are authorized to access the data are in a specific subnet, then you can check the subnet and use the VPD policy to append where 1=2 onto the where clause to anyone querying the data from outside that subnet. You can also use authentication method in this check. Say the data is so sensitive you only want people to access it if they connected using RADIUS. If someone connected using anything else, again you would append where 1=2 onto the where clause to return nothing. This important thing to remember is, Your VPD policy can be anything you can code in PL/SQL.
Lets start this with setting up some support objects in the security schema.
Setup a table of ip_addresses and if the user is granted access to credit card number, social security number and if they user has customer access.
This is the demo code for encrypting data where there is an existing index. We are starting with a table customers_tst that is in the unencrypted tablespace dat.
start with dropping the old test objects.
create two small tablespaces small_idx and dat.
create the customers_tst table as a subset of customers.
create an index on customers_tst(ssn)
alter the table customers_tst to add encryption to ssn and cc_nbr. Because ssn has an index we are not using salt.
We then alter the index to rebuild. Because Oracle marks block as free and does not erase them, the old index still exists.
We check for ghost data in small_indx.dbf and dat.dbf.
We confirm that there is ghost data and then drop the index.
Once we drop the tablespace, we can then turn our attention on shredding the ghost data.
2DROP MATERIALIZED VIEW customer_sales;
3DROP TABLESPACE small_idx INCLUDING CONTENTS;
4DROP TABLESPACE dat INCLUDING CONTENTS;
5-- rm /opt/oracle/oradata/DEV/datafile/small_idx.dbf 6-- rm /opt/oracle/oradata/DEV/datafile/dat.dbf 7CREATE TABLESPACE small_idx DATAFILE '/opt/oracle/oradata/DEV/datafile/small_idx.dbf' SIZE 10M;
8CREATE TABLESPACE dat DATAFILE '/opt/oracle/oradata/DEV/datafile/dat.dbf' SIZE 10M;
9 10-- create a test table from customers. 11CREATETABLE customers_tst
13as (select* 14from customers
15where rownum <=1000);
16 17-- we are going to build an index on SSN 18CREATEINDEX customers_ssn_idx ON customers_tst(ssn) TABLESPACE small_idx;
19 20ALTERTABLE customers_tst MODIFY
21 (ssn encrypt USING 'AES256' NO SALT,
22 cc_nbr encrypt USING 'AES256');
23 24-- now lets do an index rebuild and test for ghost data 25ALTERINDEX customers_ssn_idx REBUILD;
26 27-- in root container run flush the buffer cache 28 29-- in shell run strings /opt/oracle/oradata/DEV/datafile/small_idx.dbf 30-- in shell run strings /opt/oracle/oradata/DEV/datafile/dat.dbf 31 32SELECT*FROM customers_tst
33where ssn ='347631761';
34 35dropindex customers_ssn_idx;
36 37DROP TABLESPACE small_idx;
38-- in the shell shread the datafile 39-- in the shell shred /opt/oracle/oradata/DEV/datafile/small_idx.dbf 40-- in the shell rm /opt/oracle/oradata/DEV/datafile/small_idx.dbf 41-- we are going to build an index on region so support FK to regions. 42create tablespace small_idx datafile '/opt/oracle/oradata/DEV/datafile/small_idx.dbf' size 10M;
43 44-- a small tablespce to hold a materialized view. 45CREATE TABLESPACE dat
46DATAFILE '/opt/oracle/oradata/DEV/datafile/dat.dbf' SIZE 10M;
47 48-- now lets recreate our test data and encrypt it. 49 50CREATETABLE customers_tst
52as (select* 53from customers
54where rownum <=1000);
55 56ALTERTABLE customers_tst MODIFY
57 (ssn encrypt USING 'AES256' NO SALT,
58 cc_nbr encrypt USING 'AES256');
59 60-- we are going to build an index on SSN 61CREATEINDEX customers_ssn_idx ON customers_tst(ssn) TABLESPACE small_idx;
62 63 64CREATE MATERIALIZED VIEW CUSTOMER_SALES
68USING INDEX 69REFRESH
70START WITH SYSDATE NEXT SYSDATE +1/24 71COMPLETE
73USING DEFAULTROLLBACK SEGMENT
74DISABLE QUERY REWRITE AS 75SELECT 76 c.fname,
81 c.cc_nbr, -- cc_nbr is sensitive and encrypted. 82 c.ssn, -- ssn is sensitive and encrypted. 83 s.price,
86FROM customers_tst c,
87 sales_tst s,
88 products p
89where c.id = s.cust_id
90and s.product_id = p.id;
91 92CREATEINDEX CUSTOMER_SALES_IDX ON CUSTOMER_SALES (SSN) TABLESPACE small_idx;
93CREATEINDEX CUSTOMER_SALES_IDX2 ON CUSTOMER_SALES (cc_nbr) tablespace small_idx;
94 95--DROP MATERIALIZED VIEW customer_sales; 96 97-- lets check for sensitive data in the datafiles. 98-- in shell strings /opt/oracle/oradata/DEV/datafile/dat.dbf 99-- in shell strings /opt/oracle/oradata/DEV/datafile/small_idx.dbf100DROP MATERIALIZED VIEW customer_sales;
101DROP TABLESPACE small_idx INCLUDING CONTENTS;
102DROP TABLESPACE dat INCLUDING CONTENTS;
103-- in shell shred /opt/oracle/oradata/DEV/datafile/dat.dbf104-- in shell shred /opt/oracle/oradata/DEV/datafile/small_idx.dbf105-- in shell rm /opt/oracle/oradata/DEV/datafile/dat.dbf106-- in shell rm /opt/oracle/oradata/DEV/datafile/small_idx.dbf107108CREATE TABLESPACE small_idx DATAFILE '/opt/oracle/oradata/DEV/datafile/small_idx.dbf' SIZE 10M;
109CREATE TABLESPACE dat DATAFILE '/opt/oracle/oradata/DEV/datafile/dat.dbf' SIZE 10M;
120 CC_NBR ENCRYPT USING 'AES256',
122 SSN ENCRYPT USING 'AES256' NO SALT)
127where rownum <=1000);
128129130-- we are going to build an index on SSN131CREATEINDEX customers_ssn_idx ON customers_tst(ssn) TABLESPACE small_idx;
132133134-- we are going to recreate the materialized view, this time135-- we will add the encrypt clause.136137CREATE MATERIALIZED VIEW CUSTOMER_SALES
143 cc_nbr encrypt USING '3DES168',
144 ssn encrypt USING '3DES168' NO SALT, -- because ssn has an index we will not use salt.145 price,
147 product_name )
161FROM customers_tst c,
162 sales_tst s,
163 products p
164WHERE c.ID = s.cust_id
165and s.product_id = p.id);
166167CREATEINDEX CUSTOMER_SALES_IDX ON CUSTOMER_SALES (SSN) tablespace small_idx;
168CREATEINDEX CUSTOMER_SALES_IDX2 ON CUSTOMER_SALES (ZIP) TABLESPACE small_idx;
169170-- in shell strings /opt/oracle/oradata/DEV/datafile/dat.dbf171-- in shell strings /opt/oracle/oradata/DEV/datafile/small_idx.dbf
Here is a teaser for the Oracle Transparent Data Encryption presentation
We look at having an existing table with existing indexes. A policy comes out that says we need to encrypt SSN and Credit Card Numbers. Once we encrypt the columns and rebuild the indexes, does the unencrytped data in the index get encrypted?